Incredible opportunity for an experienced Senior Data Analyst to join a high-performing team within a fast-paced environment.
We are seeking a highly skilled professional with a minimum of 5 years of experience in data analysis and advanced analytical techniques.
Key Responsibilities:
* Analyze vast datasets to identify fraud indicators, trends, and emerging threats.
* Apply advanced statistical techniques to enhance fraud detection accuracy.
* Evaluate and refine fraud rules and models to reduce false positives.
* Develop sophisticated algorithms for linking, clustering, and pattern recognition.
* Rapidly implement new fraud detection methods based on investigative insights.
* Collaborate with cross-functional teams to drive fraud prevention innovations.
Requirements:
* 5 years of commercial experience in a Data Analyst/Scientist role is essential.
* Advanced SQL skills, including complex queries and stored procedures.
* Expertise in Python programming language.
* Extensive experience with data visualization tools, such as Power BI or Tableau.
* Strong data modeling skills.
* Somewhat familiar with fraud-related concepts.
* Oustanding communication and interpersonal skills necessary.